Two Diseases That Consider Individual Information For Detection Optimal Design

With the development of science and technology,disease detection technology has expanded from a single disease to a variety of diseases at the same time group detection.Scholars at home and abroad have studied the optimal group size of various disease group detection,mainly considering the relationship between the prevalence rate and the optimal group size,and seldom considering the optimal group size of the relationship between individual information and prevalence.In this paper,in the case of various disease grouping detection,considering the optimal grouping size of the differences of the members of the disease group to be measured,it can effectively improve the efficiency of detection.The main research object of this thesis is the group with two diseases and individual information,and the optimal grouping size under the influence of individual information and prevalence in the detection of two diseases is obtained,and the method of two distribution and inverse two distribution sampling is adopted.Based on the relationship between the different prevalence rates of the two diseases and the Logistic function of individual information,the regression model of Fisher information matrix with different parameters is deduced,the optimal group size is found according to D-optimal criterion,and the parameter estimation value and variance reliability of optimal group size are verified.Finally,the simulation shows that the smaller the rate estimation and parameter estimation value of individual information in different grouping cases,the more accurate the estimation,so that the group size is the optimal group size when the inverse of the information matrix obtains the minimum value.The value of the optimal packet size is also affected by the error,and the more accurate the estimation results are in the precise state.